Triple
T10525288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilly Burns |
E248285
|
entity |
| Predicate | workTitle |
P24259
|
FINISHED |
| Object |
Silver Streak
Silver Streak is a work created by Hilly Burns, likely a creative piece such as a novel, story, or similar literary work.
|
E872766
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Silver Streak | Statement: [Hilly Burns, workTitle, Silver Streak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Streak Context triple: [Hilly Burns, workTitle, Silver Streak]
-
A.
Silver Streak
Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
-
B.
Silver Stallion
"Silver Stallion" is a country song popularized by the supergroup The Highwaymen, showcasing their signature outlaw-country style and harmonies.
-
C.
Silver Reel
Silver Reel is a film production and financing company known for backing a range of international independent and prestige films.
-
D.
Silver Chips
Silver Chips is the student-run newspaper of Montgomery Blair High School, known for its in-depth reporting and coverage of school and community issues.
-
E.
White Lightning
"White Lightning" is a classic country song by George Jones, celebrated for its upbeat tempo and humorous tale of backwoods moonshine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silver Streak Triple: [Hilly Burns, workTitle, Silver Streak]
Generated description
Silver Streak is a work created by Hilly Burns, likely a creative piece such as a novel, story, or similar literary work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Streak Target entity description: Silver Streak is a work created by Hilly Burns, likely a creative piece such as a novel, story, or similar literary work.
-
A.
Silver Streak
Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
-
B.
Silver Stallion
"Silver Stallion" is a country song popularized by the supergroup The Highwaymen, showcasing their signature outlaw-country style and harmonies.
-
C.
Silver Reel
Silver Reel is a film production and financing company known for backing a range of international independent and prestige films.
-
D.
Silver Chips
Silver Chips is the student-run newspaper of Montgomery Blair High School, known for its in-depth reporting and coverage of school and community issues.
-
E.
White Lightning
"White Lightning" is a classic country song by George Jones, celebrated for its upbeat tempo and humorous tale of backwoods moonshine.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b1b0de8819089e39ec76e6bdf59 |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: April 6, 2026, 12:29 p.m.